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    "# Day 2 EXERCISE Solution:\n",
    "\n",
    "Upgraded day 1 project that scrapes and summarizes any webpage using an Open Source model running locally via Ollama instead of OpenAI\n",
    "\n",
    "## Note:-\n",
    "If Ollama is slow on your machine, try using `llama3.2:1b` as an alternative: \n",
    "1. Run `ollama pull llama3.2:1b` from a Terminal or Powershell\n",
    "2. **Ctrl + /** to comment this code line below: `MODEL = \"llama3.2\"`\n",
    "3. same **Ctrl + /** to uncomment: `MODEL = \"llama3.2:1b\"`"
   ]
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  {
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   "id": "4e2a9393-7767-488e-a8bf-27c12dca35bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# imports:-\n",
    "\n",
    "import requests\n",
    "from bs4 import BeautifulSoup\n",
    "from IPython.display import Markdown, display\n",
    "import ollama"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "29ddd15d-a3c5-4f4e-a678-873f56162724",
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   "source": [
    "# Constants:-\n",
    "\n",
    "# MODEL = \"llama3.2\"\n",
    "MODEL = \"llama3.2:1b\"\n",
    "# MODEL = \"deepseek-r1:1.5b\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6de38216-6d1c-48c4-877b-86d403f4e0f8",
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   "source": [
    "class Website:\n",
    "    def __init__(self, url):\n",
    "        self.url = url\n",
    "        response = requests.get(url)\n",
    "        soup = BeautifulSoup(response.content, 'html.parser')\n",
    "        self.title = soup.title.string if soup.title else \"No title found\"\n",
    "        for irrelevant in soup.body([\"script\", \"style\", \"img\", \"input\"]):\n",
    "            irrelevant.decompose()\n",
    "        self.text = soup.body.get_text(separator=\"\\n\", strip=True)\n",
    "\n",
    "\n",
    "system_prompt = \"You are an assistant that analyzes the contents of a website \\\n",
    "                and provides a short summary, ignoring text that might be navigation related. \\\n",
    "                Respond in markdown.\"\n",
    "\n",
    "\n",
    "def user_prompt_for(website):\n",
    "    user_prompt = f\"You are looking at a website titled {website.title}\"\n",
    "    user_prompt += \"\\nThe contents of this website is as follows; \\\n",
    "                    please provide a short summary of this website in markdown. \\\n",
    "                    If it includes news or announcements, then summarize these too.\\n\\n\"\n",
    "    user_prompt += website.text\n",
    "    return user_prompt\n",
    "\n",
    "\n",
    "def messages_for(website):\n",
    "    return [\n",
    "        {\"role\": \"system\", \"content\": system_prompt},\n",
    "        {\"role\": \"user\", \"content\": user_prompt_for(website)}\n",
    "    ]\n",
    "\n",
    "\n",
    "def summary(url):\n",
    "    website = Website(url)\n",
    "    response = ollama.chat(\n",
    "        model = MODEL,\n",
    "        messages = messages_for(website)\n",
    "    )\n",
    "    return display(Markdown(response['message']['content']))\n",
    "\n",
    "\n",
    "summary(\"https://edwarddonner.com\")\n",
    "# summary(\"https://cnn.com\")\n",
    "# summary(\"https://anthropic.com\")"
   ]
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